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ORCIDJing Zhang 0015
Person information
- affiliation: Southeast University, Nanjing, China
- affiliation (2015 - 2022): Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- affiliation (2012 - 2015): Hefei University of Technology, China
- affiliation (2013 - 2014): University of Central Arkansas, Conway, AR, USA
Other persons with the same name
- Jing Zhang — disambiguation page
- Jing Zhang 0001
![[0000-0003-2019-225X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2019-225X")
— Renmin University, Department of Computer Science, Beijing, China (and 1 more) - Jing Zhang 0002 — Mount Sinai School of Medicine, New York, USA
- Jing Zhang 0003 — Motorola Labs (and 1 more)
- Jing Zhang 0005 — University of California, Irvine, CA, USA
- Jing Zhang 0006 — Clark University, MA, USA
- Jing Zhang 0007 — Shanghai Jiao-Tong University, China
- Jing Zhang 0008 — Panasonic R&D (and 1 more)
- Jing Zhang 0009 — Xi'an University of Technology, School of Computer Science and Engineering, China
- Jing Zhang 0010 (aka: Jing Maria Zhang) — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA (and 1 more)
- Jing Zhang 0011 — Mobile Technologies, Pittsburgh, PA, USA
- Jing Zhang 0012 — Tsinghua University, Institute for Theoretical Computer Science, China
- Jing Zhang 0013 — North Carolina Agricultural and Technical State University, Greensboro, NC, USA (and 3 more)
- Jing Zhang 0014 — Hunan Institute of Science and Technology, College of Physics and Electronics, Yueyang, China (and 1 more)
- Jing Zhang 0017 — Beihang University, Beijing, China (and 1 more)
- Jing Zhang 0018 — Beijing Union University, Basic Courses Department, China
- Jing Zhang 0019 — Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, China (and 3 more)
- Jing Zhang 0020 — Xi'an Jiaotong University, Frontier Institute of Science and Techonology, China (and 1 more)
- Jing Zhang 0021 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Zhang 0022 — Guizhou University, School of Electrical Engineering, Guiyang, China (and 1 more)
- Jing Zhang 0023 — Beijing University of Technology, Faculty of Information Technology, Signal and Information Processing Laboratory, China (and 1 more)
- Jing Zhang 0024 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jing Zhang 0025 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more)
- Jing Zhang 0026 — Wuhan University, School of Mathematics and Statistics, China
- Jing Zhang 0027 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
- Jing Zhang 0028 — Dalian University of Technology, School of Computer Science and Technology, China
- Jing Zhang 0029 — Gyeongsang National University, Department of Computer Science, Korea (and 1 more)
- Jing Zhang 0030 — Boston University, Division of Systems Engineering, MA, USA
- Jing Zhang 0031 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jing Zhang 0032 — Changchun University of Science and Technology, College of Computer Science and Technology, China (and 1 more)
- Jing Zhang 0033 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute for Brain Research, China
- Jing Zhang 0034 — Harbin Engineering University, Computer Science and Technology, China (and 1 more)
- Jing Zhang 0035 — Qingdao University of Science and Technology, School of Mathematics and Physics, China (and 1 more)
- Jing Zhang 0036 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jing Zhang 0037 — University of Sydney, School of Computer Science, Faculty of Engineering, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia (and 4 more)
- Jing Zhang 0038 — Tianjin University, School of Electrical and Information Engineering, China
- Jing Zhang 0039 — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
- Jing Zhang 0040 — Fujian University of Technology, College of Information Science and Engineering, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fuzhou, China
- Jing Zhang 0041 — East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China (and 1 more)
- Jing Zhang 0042 — Tsinghua University, Department of Automation, Beijing, China
- Jing Zhang 0043 — University of Electronic Science and Technology of China, School of Optoelectronic Information, MOEMIL Laboratory, Chengdu, China
- Jing Zhang 0044 — University of California, San Diego, Department of Biomedical Informatics, CA, USA
- Jing Zhang 0045 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Jing Zhang 0046 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, MOE Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China
- Jing Zhang 0047 — Wuhan University, LIEMARS, China
- Jing Zhang 0048 — Petrochina, Research Institute of Petroleum Exploration and Development, Sichuan Basin Research Center, Beijing, China
- Jing Zhang 0049 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Jing Zhang 0050 — Lamar University, Department of Computer Science, Beaumont, TX, USA
- Jing Zhang 0051 — Sichuan University, College of Electrical Engineering and Information Technology, China
- Jing Zhang 0052 — Australian National University, Research School of Engineering, Canberra, Australia (and 1 more)
- Jing Zhang 0053 — Duke University, Department of Radiology, Durham, NC, USA (and 1 more)
- Jing Zhang 0054 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China (and 1 more)
- Jing Zhang 0055 — University of Macau, Department of Portuguese, Taipa, Macau
- Jing Zhang 0056 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Jing Zhang 0057 — Xi'an University of Science and Technology, China (and 1 more)
- Jing Zhang 0058 — Beijing Jiaotong University, Beijing Key Lab of Traffic Data Analysis and Mining, China
- Jing Zhang 0059 — Shanghai Business School, Faculty of Business Information, China
- Jing Zhang 0060 — Wuhan University, LISMARS, China
- Jing Zhang 0061 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China
- Jing Zhang 0062 — Department of Computer Science, University of California, Irvine, CA, USA (and 1 more)
- Jing Zhang 0063 — Capital Normal University, College of Resources Environment and Tourism, Beijing, China (and 1 more)
- Jing Zhang 0064 — National University of Defense Technology, College of Liberal Arts and Sciences, Changsha, China
- Jing Zhang 0065 — Nanjing University of Information Science and Technology, School of Computer and Software, China
- Jing Zhang 0066 — Beijing Jiaotong University, Institute of Lightwave Technology, China
- Jing Zhang 0067 — Beihang University, Department of Automation Science and Electrical Engineering, Beijing, China
- Jing Zhang 0068 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Jing Zhang 0069 — Beijing Jiaotong University, School of Electronic and Information Engineering, Frontiers Science Center for Smart High-speed Railway System, China
- Jing Zhang 0070 — University of Science and Technology of China, School of Management, Hefei, China
- Jing Zhang 0071 — University of Sangmyung, Department of Emotion Engineering, Seoul, South Korea
- Jing Zhang 0072 — Chang'an University, College of Geology Engineering and Geomatics, Xi'an, China (and 1 more)
- Jing Zhang 0073 — Harbin Engineering University, College of Information and Communication Engineering, China
- Jing Zhang 0074 — Zhengzhou Preschool Education College, China
- Jing Zhang 0075 — Jilin University of Architecture and Technology, Basic Science Department, Changchun, China
- Jing Zhang 0076 — Southeast University, School of Cyber Sciences and Engineering, Nanjing, China
- Jing Zhang 0077 — Hainan University, School of Information and Communication Engineering, Haikou, China
- Jing Zhang 0078 — Anhui University of Finance and Economics, School of Finance, Bengbu, China (and 1 more)
- Jing Zhang 0079 — Lanzhou University, School of Economic, China
- Jing Zhang 0080 — Beijing University of Technology, Faculty of Architecture, Civil and Transportation Engineering, China (and 1 more)
- Jing Zhang 0082 — Panzhihua University, School of Mathematics and Computer Science, China (and 1 more)
- Jing Zhang 0083 — Harbin Engineering University, College of Computer Science and Technology, China (and 3 more)
- Jing Zhang 0084 — Hebei University of Technology, School of Economics and Management, Tianjin, China
- Jing Zhang 0085 — Nanjing University of Science and Technology, School of Automation, China
- Jing Zhang 0086 — Normandie University, INSA Rouen, France
- Jing Zhang 0087 — University of Michigan, Computer Science and Engineering, MI, USA
- Jing Zhang 0088 — Wuhan University of Technology, Department of Computer Science, China
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Journal Articles
- 2024
[j49]Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng:
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3169-3182 (2024)- [j48]Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng:
Active Crowdsourcing for Multilabel Annotation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3549-3559 (2024) - 2023
- [j47]Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou:
Learning from biased crowdsourced labeling with deep clustering. Expert Syst. Appl. 211: 118608 (2023) - [j46]Jing Zhang, Meilin Cao:
Distant supervision for relation extraction with hierarchical attention-based networks. Expert Syst. Appl. 220: 119727 (2023) - [j45]Jing Zhang, Jianhua Li, Yi Zhu, Yu Fu, Lixia Chen:
Thyroidkeeper: a healthcare management system for patients with thyroid diseases. Health Inf. Sci. Syst. 11(1): 49 (2023) - [j44]Jing Zhang, Sunyue Xu, Victor S. Sheng:
Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. Pattern Recognit. 140: 109525 (2023) - [j43]Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng:
Contrastive Learning Based Graph Convolution Network for Social Recommendation. ACM Trans. Knowl. Discov. Data 17(8): 120:1-120:21 (2023) - 2022
- [j42]Wen Hao, Jing Zhang, Jun Su, Yuqing Song, Zhe Liu, Yi Liu, Cheng-Jian Qiu, Kai Han:
HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images. Comput. Methods Programs Biomed. 224: 107003 (2022) - [j41]Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng:
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198: 116757 (2022) - [j40]Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng:
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. Expert Syst. Appl. 200: 116896 (2022) - [j39]Jing Zhang:
Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective. IEEE CAA J. Autom. Sinica 9(5): 749-762 (2022) - [j38]Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Kim-Kwang Raymond Choo, Mauro Conti, Jing Zhang:
Misinformation Detection on Social Media: Challenges and the Road Ahead. IT Prof. 24(1): 34-40 (2022) - [j37]Yanhui Peng, Jing Zhang, Cangqi Zhou, Shunmei Meng:
Knowledge Graph Entity Alignment Using Relation Structural Similarity. J. Database Manag. 33(1): 1-19 (2022) - [j36]Shunmei Meng, Shaoyu Fan, Qianmu Li, Xinna Wang, Jing Zhang, Xiaolong Xu, Lianyong Qi, Md. Zakirul Alam Bhuiyan:
Privacy-Aware Factorization-Based Hybrid Recommendation Method for Healthcare Services. IEEE Trans. Ind. Informatics 18(8): 5637-5647 (2022) - [j35]Shunmei Meng, Jiangmin Xu, Huihui Wang, Rui Yuan, Jing Zhang, Qianmu Li:
Time-aware scalable recommendation with clustering-based distributed factorization for edge services. World Wide Web 25(5): 1831-1849 (2022) - 2021
- [j34]Ming Wu, Qianmu Li, Muhammad Bilal, Xiaolong Xu, Jing Zhang, Jun Hou:
Multi-label active learning from crowds for secure IIoT. Ad Hoc Networks 121: 102594 (2021) - [j33]Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao:
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. 53(2): 28:1-28:35 (2021) - [j32]Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng:
Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. 180: 115063 (2021) - [j31]Jing Zhang, Mengxi Li, Kaisheng Gao, Shunmei Meng, Cangqi Zhou:
Word and graph attention networks for semi-supervised classification. Knowl. Inf. Syst. 63(11): 2841-2859 (2021) - [j30]Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu:
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. Knowl. Based Syst. 232: 107471 (2021) - [j29]Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng:
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. Multim. Syst. 27(1): 111-124 (2021) - [j28]Jing Zhang, Xindong Wu:
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. IEEE Trans. Knowl. Data Eng. 33(5): 2083-2095 (2021) - 2020
- [j27]Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang:
Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. IEEE Access 8: 64120-64130 (2020) - [j26]Cangqi Zhou, Hao Ban, Jing Zhang, Qianmu Li, Yinghua Zhang:
Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling. IEEE Access 8: 106843-106854 (2020) - [j25]Milad Taleby Ahvanooey, Qianmu Li, Mark Xuefang Zhu, Mamoun Alazab, Jing Zhang:
ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media. Comput. Secur. 90: 101702 (2020) - [j24]Shunmei Meng, Qianmu Li, Jing Zhang, Wenmin Lin, Wanchun Dou:
Temporal-aware and sparsity-tolerant hybrid collaborative recommendation method with privacy preservation. Concurr. Comput. Pract. Exp. 32(2) (2020) - [j23]Ming Wu, XiaoChun Yin, Qianmu Li, Jing Zhang, Xinqi Feng, Qi Cao, Haiyuan Shen:
Learning deep networks with crowdsourcing for relevance evaluation. EURASIP J. Wirel. Commun. Netw. 2020(1): 82 (2020) - [j22]Qianmu Li, Yanjun Song, Jing Zhang, Victor S. Sheng:
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering. Expert Syst. Appl. 147: 113152 (2020) - 2019
- [j21]Qianmu Li, Shunmei Meng, Sainan Zhang, Ming Wu, Jing Zhang, Milad Taleby Ahvanooey, Muhammad Shamrooz Aslam:
Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm. IEEE Access 7: 24788-24805 (2019) - [j20]Qianmu Li, Shunmei Meng, Shuo Wang, Jing Zhang, Jun Hou:
CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network. IEEE Access 7: 34910-34924 (2019) - [j19]Shunmei Meng, Qianmu Li, Taoran Wu, Weijia Huang, Jing Zhang, Weimin Li:
A fault-tolerant dynamic scheduling method on hierarchical mobile edge cloud computing. Comput. Intell. 35(3): 599-609 (2019) - [j18]Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu:
Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 31(7): 1355-1368 (2019) - [j17]Jing Zhang, Ming Wu, Victor S. Sheng:
Ensemble Learning from Crowds. IEEE Trans. Knowl. Data Eng. 31(8): 1506-1519 (2019) - [j16]Jing Zhang, Victor S. Sheng, Jian Wu:
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3172-3185 (2019) - 2018
- [j15]Milad Taleby Ahvanooey, Qianmu Li, Jun Hou, Hassan Dana Mazraeh, Jing Zhang:
AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media. IEEE Access 6: 65981-65995 (2018) - [j14]Jing Zhang, Shicheng Cui, Yan Xu, Qianmu Li, Tao Li:
A novel data-driven stock price trend prediction system. Expert Syst. Appl. 97: 60-69 (2018) - [j13]Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu:
Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1675-1688 (2018) - 2017
- [j12]Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui:
Active learning with label correlation exploration for multi-label image classification. IET Comput. Vis. 11(7): 577-584 (2017) - [j11]Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu:
Consensus algorithms for biased labeling in crowdsourcing. Inf. Sci. 382-383: 254-273 (2017) - [j10]Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui:
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification. IEEE Trans. Multim. 19(6): 1156-1169 (2017) - 2016
- [j9]Jing Zhang, Xindong Wu, Victor S. Sheng:
Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. 46(4): 543-576 (2016) - [j8]Bryce Nicholson, Victor S. Sheng, Jing Zhang:
Label noise correction and application in crowdsourcing. Expert Syst. Appl. 66: 149-162 (2016) - [j7]Jing Zhang, Qianmu Li, Wei Zhou:
HDCache: A Distributed Cache System for Real-Time Cloud Services. J. Grid Comput. 14(3): 407-428 (2016) - [j6]Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu:
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. 28(4): 1080-1085 (2016) - 2015
- [j5]Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu:
CEKA: a tool for mining the wisdom of crowds. J. Mach. Learn. Res. 16: 2853-2858 (2015) - [j4]Biao Liu, Shaohua Lan, Jing Zhang, Guangjie Liu:
一种基于递归图的网络时间隐蔽信道检测方法 (Approach Based on Recurrence Plot to Detect Covert Timing Channels). 计算机科学 42(2): 114-117 (2015) - [j3]Jing Zhang, Xindong Wu, Victor S. Sheng:
Active Learning With Imbalanced Multiple Noisy Labeling. IEEE Trans. Cybern. 45(5): 1081-1093 (2015) - [j2]Jing Zhang, Xindong Wu, Victor S. Sheng:
Imbalanced Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 27(2): 489-503 (2015) - 2013
- [j1]Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao:
A Parallel Clustering Algorithm with MPI - MKmeans. J. Comput. 8(1): 10-17 (2013)
Conference and Workshop Papers
- 2023
- [c42]Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu:
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. ICDM 2023: 418-427 - [c41]Xiao Liu, Shunmei Meng, Qianmu Li, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jing Zhang, Xuyun Zhang:
Disentangled Hypergraph Collaborative Filtering for Social Recommendation. ICWS 2023: 475-482 - 2022
- [c40]Sunyue Xu, Jing Zhang:
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract). AAAI 2022: 13095-13096 - [c39]Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu:
End-to-end Modularity-based Community Co-partition in Bipartite Networks. CIKM 2022: 2711-2720 - [c38]Nianshang Tian, Ming Wu, Jiqiong Jiang, Jing Zhang:
Learning from Crowds with Mutual Correction-Based Co-Training. ICKG 2022: 257-264 - [c37]Ming Wu, Qianmu Li, Jing Zhang, Jun Hou:
Label Aggregation with Clustering for Biased Crowdsourced Labeling. ICMLC 2022: 165-169 - [c36]Meilin Cao, Jiqiong Jiang, Jing Zhang:
Multi-Instance Active Learning for Relation Extraction. ICTAI 2022: 446-450 - [c35]Yuxiang Wang, Cangqi Zhou, Jing Zhang, Qianmu Li:
Attributed Graph Clustering with Double Contrastive Projector. IJCNN 2022: 1-8 - [c34]Cangqi Zhou, Sunyue Xu, Hao Ban, Jing Zhang:
Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. PAKDD (2) 2022: 417-428 - [c33]Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu:
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. WSDM 2022: 1470-1478 - 2021
- [c32]Yu Lei, Jing Zhang:
Capsule Graph Neural Networks with EM Routing. CIKM 2021: 3191-3195 - [c31]Qingren Wang, Liang Sun, Jie Cui, Jing Zhang:
SA_3AM: A Novel Sentiment Analysis Approach Integrating Three-Level Attention Mechanism. HPCC/DSS/SmartCity/DependSys 2021: 1769-1776 - [c30]Yujie Yin, Feng Zhang, Yun Li, Jing Zhang, Jipeng Qiang:
Personalized English Lexical Simplification for Chinese. HPCC/DSS/SmartCity/DependSys 2021: 1777-1782 - [c29]Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu:
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. ICDM 2021: 1529-1534 - [c28]Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li:
Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. IJCNN 2021: 1-8 - 2020
- [c27]Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng:
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. AAAI 2020: 540-547 - [c26]Yanhui Peng, Jing Zhang, Cangqi Zhou, Jian Xu:
Embedding-Based Entity Alignment Using Relation Structural Similarity. ICKG 2020: 123-130 - [c25]Yanhui Peng, Jing Zhang:
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction. ICDM 2020: 422-431 - [c24]Huailong Dong, Bowen Zhu, Jing Zhang:
A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination. ICMLC 2020: 218-224 - 2019
- [c23]Victor S. Sheng, Jing Zhang:
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. AAAI 2019: 9837-9843 - [c22]Xiao Dong, Qianmu Li, Jun Hou, Jing Zhang, Yaozong Liu:
Security Risk Control of Water Power Generation Industrial Control Network Based on Attack and Defense Map. BigDataService 2019: 232-236 - [c21]Huihui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang:
Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. ICDM 2019: 1354-1359 - [c20]Bowen Zhu, Huailong Dong, Jing Zhang:
Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning. IScIDE (2) 2019: 312-324 - [c19]Kaisheng Gao, Jing Zhang, Cangqi Zhou:
Semi-supervised Graph Embedding for Multi-label Graph Node Classification. WISE 2019: 555-567 - 2018
- [c18]Yanjun Song, Jing Zhang, Han Yan, Qianmu Li:
Multi-class Imbalanced Learning with One-Versus-One Decomposition: An Empirical Study. ICCCS (3) 2018: 617-628 - [c17]Jing Zhang, Xindong Wu:
Multi-Label Inference for Crowdsourcing. KDD 2018: 2738-2747 - 2017
- [c16]Ming Wu, Qianmu Li, Jing Zhang, Shicheng Cui, Deqiang Li, Yong Qi:
A robust inference algorithm for crowd sourced categorization. ISKE 2017: 1-6 - [c15]Jing Zhang, Victor S. Sheng, Tao Li:
Label Aggregation for Crowdsourcing with Bi-Layer Clustering. SIGIR 2017: 921-924 - 2016
- [c14]Xiaoqiang Xu, Jing Zhang, Qianmu Li:
Equalized Interval Centroid Based Watermarking Scheme for Stepping Stone Traceback. DSC 2016: 109-117 - 2015
- [c13]Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu:
Improving Label Quality in Crowdsourcing Using Noise Correction. CIKM 2015: 1931-1934 - [c12]Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang:
Label noise correction methods. DSAA 2015: 1-9 - [c11]Bryce Nicholson, Victor S. Sheng, Jing Zhang:
Noise correction of image labeling in crowdsourcing. ICIP 2015: 1458-1462 - [c10]Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen:
Integrating Active Learning with Supervision for Crowdsourcing Generalization. ICMLA 2015: 232-237 - [c9]Bryce Nicholson, Victor S. Sheng, Jing Zhang, Zhiheng Wang, Xuefeng Xian:
Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing. MICAI (1) 2015: 547-559 - 2014
- [c8]Jian Wu, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning for image classification. ICIP 2014: 5227-5231 - 2013
- [c7]Jing Zhang, Xindong Wu, Victor Shengli Sheng:
Imbalanced Multiple Noisy Labeling for Supervised Learning. AAAI 2013: 1651-1652 - [c6]Jing Zhang, Xindong Wu, Victor S. Sheng:
A threshold method for imbalanced multiple noisy labeling. ASONAM 2013: 61-65 - 2012
- [c5]Jing Zhang, Gong-Qing Wu, Xuegang Hu, Xindong Wu:
A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. GRID 2012: 12-21 - 2011
- [c4]Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu:
K-Means Clustering with Bagging and MapReduce. HICSS 2011: 1-8 - [c3]Jing Zhang, Gong-Qing Wu, Xuegang Hu, Shiying Li, Shuilong Hao:
A Parallel K-Means Clustering Algorithm with MPI. PAAP 2011: 60-64 - 2010
- [c2]Jing Zhang, Gong-Qing Wu, Haiguang Li, Xuegang Hu, Xindong Wu:
A 2-Tier Clustering Algorithm with Map-Reduce. ChinaGrid 2010: 160-166 - 2009
- [c1]Gong-Qing Wu, Hai-Guang Li, Xuegang Hu, Yuan-Jun Bi, Jing Zhang, Xindong Wu:
MReC4.5: C4.5 Ensemble Classification with MapReduce. ChinaGrid 2009: 249-255
Informal and Other Publications
- 2023
- [i4]Xiang Li, Jing Zhang, Yali Yuan, Cangqi Zhou:
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks. CoRR abs/2310.17348 (2023) - [i3]Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR abs/2311.18743 (2023) - 2021
- [i2]Yu Lei, Jing Zhang:
Capsule Graph Neural Networks with EM Routing. CoRR abs/2110.09039 (2021) - 2019
- [i1]Kaisheng Gao, Jing Zhang, Cangqi Zhou:
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification. CoRR abs/1907.05743 (2019)
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-22 20:11 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
